
Lead Devops Engineer
- Hyderabad, Telangana
- Permanent
- Full-time
- Lead and mentor a team of DevOps engineers, fostering a culture of collaboration, ownership, and continuous improvement.
- Collaborate with cross-functional teams to support the full software development lifecycle (SDLC).
- Own the design and implementation of scalable CI/CD pipelines across multiple teams.
- Architect and maintain reusable Infrastructure as Code (IaC) modules using Terraform, AWS CDK, or CloudFormation.
- Provision and manage resilient and scalable infrastructure on AWS, ensuring high availability and performance.
- Drive the adoption of DevSecOps practices, embedding security early in the development lifecycle.
- Implement and oversee robust monitoring, logging, and alerting solutions to ensure system health and observability.
- Ensure infrastructure meets standards for security, compliance, scalability, and cost-efficiency.
- Champion an automation-first mindset across the team and engineering practices.
- Provide technical leadership in fulfilling non-functional requirements such as performance, reliability, and scalability.
- Qualified with a degree in B.Sc. in Computer Science, MCA in Computer Science, Bachelor of Technology in Engineering, or higher.
- 8+ years of hands-on experience in DevOps roles, with at least 2 years in a leadership role.
- Proven experience in building and supporting cloud-native solutions on AWS (preferred), Azure, or Google Cloud.
- Experience working in agile teams and contributing to sprint planning and retrospectives.
- Passion for continuous improvement and innovation in DevSecOps practices.
- Automation-first mindset - proactively seeks opportunities to automate and optimise engineering workflows.
- Expertise in CI/CD tooling such as Jenkins, Bitbucket Pipelines, GitHub Actions, GitLab, Harness, AWS CodeBuild/CodeDeploy, or Azure Pipelines.
- Strong hands-on experience with Infrastructure as Code (IaC) using Terraform, AWS CDK, and/or CloudFormation.
- Deep understanding of networking fundamentals including IP addressing, DNS, routing, firewalls, and WAFs.
- Proficiency in scripting languages such as Bash, PowerShell, or Python.
- Experience with Docker and Kubernetes, with preference for Amazon EKS.
- Solid understanding of cloud security principles and IAM policy design.
- Experience working and leading a team in Agile environments and contributing to sprint planning and retrospectives.
- Experience with GitHub Enterprise and GitOps practices.
- Familiarity with server-less architectures (e.g., AWS Lambda, Step Functions).
- Exposure to AI/ML tools and their integration into DevOps workflows.
- Knowledge of FinOps and cloud cost optimisation strategies.
- AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a strong plus.
- Experience with Generative AI (Gen AI) in DevSecOps and software engineering contexts.